Uncertainty quantification in breast cancer risk prediction models using self-reported family health history
Introduction. Family health history (FHx) is an important factor in breast and ovarian cancer risk assessment. As such, multiple risk prediction models rely strongly on FHx data when identifying a patient’s risk. These models were developed using verified information and when transla...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2017-02-01
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| Series: | Journal of Clinical and Translational Science |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2059866116000091/type/journal_article |